VP AI Research Engineer — Applied AIML Leader

J.P. MORGAN; Glasgow; On-site; GBP 120,000 - 180,000; Full time

Job summary

J.P. Morgan seeks a hands-on AI Research Engineer at VP level to lead applied research and prototype production-grade capabilities. You will evaluate open-source LLMs, fine-tune for domain tasks, and optimize production inference while collaborating with IPB Tech AIML engineers.

You will publish results, mentor teams, and help shape scalable AI capabilities for dedicated platform needs across the organization.

Qualifications

• Formal training or certification on artificial intelligence and machine learning concepts and applied experience.
• Advanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face).
• Hands-on experience evaluating, fine-tuning, and deploying Large Language Models.
• Strong grounding in experimental design, evaluation, and benchmarking of ML systems.
• Ability to bridge research and engineering: prototypes that become production-ready capabilities.
• Awareness of inference cost, performance, and optimisation techniques.
• Strong communication skills, including translating research into business and engineering terms.
• Published in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR), or equivalent open-source / applied-research contributions in LLMs, fine-tuning, or efficient inference.
• MSc or PhD in Machine Learning, Computer Science, or a related quantitative field, or equivalent applied experience.

Responsibilities

• Leads applied research into open-source LLM evaluation and deployment for cost, sovereignty, and data-residency optionality.
• Runs fine-tuning work for tone, lexicon, and domain-specific tasks that are currently brittle in prompts.
• Investigates inference efficiency and tokenomics: cost-per-output, model routing, and optimisation of production inference.
• Prototypes voice and image/multimodal capabilities (speech-to-text, text-to-speech, voice agents, document and image understanding) to underwrite future user-facing experiences.
• Designs rigorous evaluation methodologies and benchmarks so research findings are measurable and reproducible.
• Partners with AI and platform engineers to productionise research outputs, each tied to a real platform or product need.
• Publishes internal findings and raises the team's collective capability through knowledge-sharing; acts as a recruiting and thought-leadership magnet.
• Champions the firm's culture of diversity, Opportunity, inclusion, and respect.

Skills

Python

PyTorch

Hugging Face

LLMs

Experiment design

Communication

Bridge to production

Education

MSc/PhD in ML/CS

Tools

Hugging Face

PyTorch

Job description

J.P. Morgan seeks a hands-on AI Research Engineer at VP level to lead applied research and prototype production-grade capabilities. You will evaluate open-source LLMs, fine-tune for domain tasks, and optimize production inference while collaborating with IPB Tech AIML engineers.

You will publish results, mentor teams, and help shape scalable AI capabilities for dedicated platform needs across the organization.